Evidence map›Paper›PMID 38842643›Full record

ArticleJournal of medical ultrasonics (2001)2024

Identifying unstable ramp lesions using ultrasonography.

Tomoyuki Kanayama, Junsuke Nakase, Yoshihiro Ishida, Yusuke Yanatori, Naoki Takemoto, Satoru Demura

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Article in Journal of medical ultrasonics (2001), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Tomoyuki KanayamaDepartment of Orthopedic Surgery, Graduate School of Medical Sciences, Kanazawa University, 13-1 Takara-Machi, Kanazawa City, 920-8641, Japan.
Junsuke NakaseDepartment of Orthopedic Surgery, Graduate School of Medical Sciences, Kanazawa University, 13-1 Takara-Machi, Kanazawa City, 920-8641, Japan. nakase1007@yahoo.co.jp.ORCID http://orcid.org/0000-0002-9286-5276
Yoshihiro IshidaDepartment of Orthopedic Surgery, Graduate School of Medical Sciences, Kanazawa University, 13-1 Takara-Machi, Kanazawa City, 920-8641, Japan.
Yusuke YanatoriDepartment of Orthopedic Surgery, Graduate School of Medical Sciences, Kanazawa University, 13-1 Takara-Machi, Kanazawa City, 920-8641, Japan.
Naoki TakemotoDepartment of Orthopedic Surgery, Graduate School of Medical Sciences, Kanazawa University, 13-1 Takara-Machi, Kanazawa City, 920-8641, Japan.
Satoru DemuraDepartment of Orthopedic Surgery, Graduate School of Medical Sciences, Kanazawa University, 13-1 Takara-Machi, Kanazawa City, 920-8641, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with suspected ramp lesions on magnetic resonance imaging (MRI) or ultrasonography (US) healed and showed no instability based on intraoperative arthroscopic findings. The purpose of this study was to assess the use of US in evaluating ramp lesions preoperatively and intraoperatively.

methodsEighty-two knees that underwent anterior cruciate ligament (ACL) reconstruction between January 2022 and June 2023 were included to assess the ramp lesion complication rate and instability using arthroscopic findings. The detection rate of ramp lesions using US at the initial visit and preoperatively was also investigated. The test-retest reliability was assessed using the intraclass correlation coefficient and analyzed using two-way random effects and absolute agreement. The patients were divided into two groups based on the presence or absence of ramp lesions, and these data were compared using Student's t-test. Statistical significance was set at p < 0.05.

resultsOn ultrasound examination, 90.0% of the cases had a ramp lesion at the initial examination, of which 22.2% were poorly delineated on the day of surgery. In the cases where the ramp lesion was unstable at the time of surgery, it could be delineated using US. In the cases where the ramp lesion was stable, it was difficult to delineate the lesion using US.

conclusionsUnstable ramp lesions complicating ACL injuries could be detected using US.

Indexed as

Menisci, TibialUltrasonographyAdolescentAdultAnterior Cruciate Ligament InjuriesArthroscopyChildFemaleHumansMagnetic Resonance ImagingMaleYoung AdultACL injuryKnee InjuryRamp lesionUltrasonic diagnosis

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.